Overview of Linguistic Resources for the TAC KBP 2015 Evaluations: Methodologies and Results
By Joe Ellis, Jeremy Getman, Dana Fore, Neil Kuster, Zhiyi Song, Ann Bies, Stephanie Strassel. 2015
89 citations recorded by the source corpus.
Subfields: Evaluation & Benchmarks
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In Evaluation & Benchmarks
- Andreas Vlachos
- James Thorne
- Mohit Bansal
- Zhiyuan Liu
- Sebastian Riedel
- Arpit Mittal
- Christos Christodoulopoulos
- Douwe Kiela
Citations in the corpus
- FEVER: a Large-scale Dataset for Fact Extraction and VERification (2018, methodology): “For a more reliable evaluation we advocate crowd-sourcing annotations of false-positive predictions at a later date in a similar manner to the TAC KBP Slot Filler Validation (Ellis et al., 2016).”
- Position-aware Attention and Supervised Data Improve Slot Filling (2017, methodology): “Second, we evaluate the slot filling performance of all models using the TAC KBP 2015 cold start slot filling task (Ellis et al., 2015).”
- Robust Retrieval Augmented Generation for Zero-shot Slot Filling (2021, methodology): “The TACRED dataset was originally proposed by Zhang et al. (2017) with the goal to provide a high-quality training set to supervise a relation extraction model which is shown to be competitive on TAC-KBP 2015 (Ellis et al., 2015).”
- Stacking With Auxiliary Features (2016, result): “o the source corpus, further boosts our performance and beats their best ensemble. The 2015 CSSF task had a much smaller corpus of shorter documents compared to the previous year’s slot-filling corpus [3, 16]. Thus, the provenance feature of [18] did not sufficiently capture the reliability of a slot ”
- DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs (2019, background): “Knowledge base construction has attracted the attention of researchers, foundations, industry, and governments [11, 13, 34, 38].”
- MAVEN: A Massive General Domain Event Detection Dataset (2020, methodology): “We show the main statistics of our MAVEN compared with some existing widely-used ED datasets in Table 2, including the most widely-used ACE 2005 dataset (Walker et al., 2006) and a series of Rich ERE annotation datasets used by TAC KBP competition, which are DEFT Rich ERE English Training Annotation”